GPT-LLM-ML: The idea is that answering your questions about the context and background of what you are currently looking it is likely—likely—to be something that these tools can do without hallucinating too much, and that people will be willing to pay for. The alternative at the moment seems to be “AI” tools as a better version of Microsoft’s infamous Clippy—and, save for programming copilots, that seems even further out of our current reach as opposed to the sweet spot we are aiming for. But new device categories are very rare: the PC, the Macintosh (if you call that really different from the text-on-green-screen PC, the smartphone, the tablet (sort of), the digital watch, the airpod… Notice anything about these genuinely-useful device categories?:

Erin Woo, Jon Victor, & Anissa Gardizy: OpenAI, Meta, Microsoft Chase Wearable AI <https//www.theinformatio…>: ‘It’s a vision many of the companies have discussed or worked on for years, but they have a new reason to think they can pull it off: the sudden rise of multimodal AI that understands drawings, charts, objects and hand gestures in addition to text and audio. For instance, OpenAI recently discussed embedding its object recognition software, known as GPT-4 with Vision, into products from Snapchat’s parent company…